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modelling, numerical development and the analysis of physical phenomena. In particular, they will be involved in designing models suited to the systems under study, their numerical implementation, and the
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consistent models and their integration into numerical simulation tools coupled with boundary value problem solvers (e.g. finite element-based frameworks). A significant part of the work will focus
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use numerical models to interpret and predict mechanical behavior. - Carry out a cross-analysis of experimental, microstructural, and numerical results. - Disseminate scientific results (publications
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to enable process-level simulation and evaluation. • Develop and assess multistage and multi-membrane process configurations for CO₂/CH₄ separation. • Perform CFD-informed analysis of membrane module
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of this research project is to develop a quasi-atomic-scale 3D model of PEDOT:PSS fibres (a pi-conjugated, semiconducting polymer) dispersed in water. This polymer complex is a benchmark in numerous fields of energy
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numerical simulations and analytical calculations, (iii) data analysis by programming, e.g. python and matlab, (iv) help and guide of Ph.D students in the team, (v) writing research reports, publishing
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model the candidate will perform a set of numerical models of an orogen testing the impact of the inherited extensional deformation on (i) the sediment routing systems and associated sediment volumes
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Principal Investigator of the OrDOTime project, and a collaborator on the project. Literature review, design of behavioural experiments, data collection, data analysis, writing scientific articles
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-Chem simulations for modeling aerosols and clouds in the Arctic region. - Analysis of the interactions between aerosols, clouds, and climate using data from the simulations. - Validation of the models
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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical